Smart Computing Models, Sensors, and Early Diagnostic Speech and Language Deficiencies Indicators in Child Communication

Plain-language summary

This clinical trial aims to justify a protocol for designing and developing an automated decision-making system to support and enhance screening and early detection procedures for developmental speech/language difficulties in child communication. The system will utilize smart computing models, sensors, and early diagnostic speech and language deficiency indicators. The study participants will be typically and non-typically (neurodevelopmentally atypical) developing children, primarily in preschool and elementary school. The key research questions the study seeks to address are: 1. Do differences exist between typically developing and neurodevelopmentally atypical children when engaging with the serious game used in the study? 2. If such differences are identified, can the collected data be utilized to train an automated decision-making system capable of accurately distinguishing between typically and neurodevelopmentally atypical children based on speech and language deficiencies? Researchers will compare typically and non-typically developed children to see if the system can incorporate multiple data points from assessment domains to create a diagnostic profile. After the parents are informed of the study and provide written consent, they enroll in the system. Participants will be asked to wear a smartwatch and play a serious game on a tablet under the supervision of a clinician. The system will collect data from the gameplay and sensors.

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